東京圏での人々の行動パターン格差に関する研究
完了
山田 育穂
The objective of this study is to uncover the social stratification of people's activities in cities. In recent years, the availability of data has made it possible for scholars to examine the patterns of segregation in urban spaces. However, the majority of research on social segregation focuses on residential or workplace segregation, while activity space segregation is rarely investigated. Here, this study focuses on the segregation of people's activities, both non-routine (e.g., shopping, cultural activities, trips) and routine activities (e.g., work or school-related activities). In doing so, this study combines people's mobility data with socioeconomic attributes. Using multiple metrics, we calculate the segregation levels of activity places. Specifically, the study will identify the places that are experiencing more or less segregation based on social groups. This study underscores the importance of understanding people's dynamic segregation patterns in urban spaces.
変更のために新しい申請を保存します。 This will save a new application on the system for a modification.
申請中の研究者は表示されません。 / Pending researchers are not shown.
澁谷 遊野 / 東京大学空間情報科学研究センター
孫 晨晨 / 東京大学工学系研究科社会基盤学専攻
申請中のデータセットは表示されません。 / Pending datasets are not shown.
【新規利用申請受付停止】 不動産データライブラリー 戸データ 全国 2013-2017 データセット
年次報告の内容はメンバーのみ表示されます。
年月:2022/10
著者:SUN Chenchen, SHIBUYA Yuya, SEKIMOTO Yoshihide
書誌情報等:Unveiling Social Segregation of Activity Space among Different Income Groups in Tokyo 23 Wards Based on Multi-sources Data, the 30th Annual Meeting of the Geographic Information Systems Conference